Biological Sciences, University of Canterbury, Private Bag, Christchurch, New Zealand.
Ecol Lett. 2013 Jan;16(1):90-8. doi: 10.1111/ele.12020. Epub 2012 Nov 1.
Mast-seeding plants often produce high seed crops the year after a warm spring or summer, but the warm-temperature model has inconsistent predictive ability. Here, we show for 26 long-term data sets from five plant families that the temperature difference between the two previous summers (ΔT) better predicts seed crops. This discovery explains how masting species tailor their flowering patterns to sites across altitudinal temperature gradients; predicts that masting will be unaffected by increasing mean temperatures under climate change; improves prediction of impacts on seed consumers; demonstrates that strongly masting species are hypersensitive to climate; explains the rarity of consecutive high-seed years without invoking resource constraints; and generates hypotheses about physiological mechanisms in plants and insect seed predators. For plants, ΔT has many attributes of an ideal cue. This temperature-difference model clarifies our understanding of mast seeding under environmental change, and could also be applied to other cues, such as rainfall.
结实丰年通常出现在温暖的春季或夏季之后的一年,但暖温模型的预测能力并不稳定。在这里,我们通过来自五个植物科的 26 个长期数据集表明,前两个夏季之间的温度差(ΔT)更好地预测了种子产量。这一发现解释了结实物种如何根据海拔温度梯度调整其开花模式;预测在气候变化下,平均温度升高不会影响结实;提高了对种子消费者的影响的预测;证明了强烈结实的物种对气候高度敏感;解释了为什么没有资源限制也很少连续出现高产年份;并提出了关于植物和昆虫种子捕食者生理机制的假说。对于植物来说,ΔT 具有理想线索的许多特征。这种温度差模型阐明了我们在环境变化下对结实的理解,并且也可以应用于其他线索,如降雨量。